Forward Deployed Engineer
Hybrid (IN)INR 1500k - INR 3000kFull-timePosted 6mo ago
About the role
Forward Deployed Engineer to work directly with customers, helping them integrate Plexe and build complete ML pipelines using our platform. Combines technical consulting, solutions architecture, and implementation with travel to customer sites.
Responsibilities
- Customer Engagement: Visit customer sites to understand their ML workflows, pain points, and business objectives.
- Integration & Implementation: Help customers integrate Plexe into their existing infrastructure and build end-to-end ML pipelines using our multi-agent platform.
- Solution Architecture: Design custom ML pipeline solutions that leverage Plexe's capabilities while fitting seamlessly into customer environments.
- Technical Support & Training: Provide ongoing technical support, conduct training sessions, and create documentation to ensure customers can effectively use and maintain their Plexe implementations.
- Product Feedback Loop: Capture customer requirements, pain points, and feature requests to inform our product roadmap.
Qualifications
- 3+ years building and deploying ML systems in production environments
- Strong Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with LLM deployment and agentic systems
- Customer-facing experience with ability to present technical concepts to diverse audiences
- Problem-solving mindset with ability to debug and troubleshoot in unfamiliar environments
Skills
Required:PythonML FrameworksLLM deploymentCustomer-facing communicationTroubleshooting in unfamiliar environments
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Plexe
Open-source agents to build predictive ML models from a prompt
Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.
machine-learningdata-scienceai